Teams

NITA W 35M18c Five Star (Mora/Berry)

2022 NITA2 Winter Adult 18 & Over · NITA Winter 18 & Over 3.5 Men

12 players · average NTRP 3.50 / NORTHERN ILLINOIS

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Schedule8 played
2022-04-24vs NITA 35M18 Naperville TC (Esancy)Split 11
L#1 DoublesBob King / Jeffrey Pawlicki vs James McTeague / Peter Brecknock3-6, 7-5, 0-1
W#2 SinglesEverett Smith vs Wayne Pham7-6, 1-0
2022-04-23vs NITA 35M18 Naperville TC (Esancy)Lost 12
L#1 DoublesBob King / John ODonnell vs Justin Hoogendoorn / Trevor Hoogendoorn4-6, 5-7
W#1 SinglesEverett Smith vs David Schmidt6-2, 3-6, 1-0
L#2 DoublesRaj Iyer / Kyle Berry vs Kyle Hand / Joshua Shenk3-6, 6-7
L#1 DoublesGeorge Smeu / Prithivirajan Prithivi vs Robert Champlin / Zachary Horn3-6, 1-6
L#2 DoublesKyle Berry / Jeffrey Pawlicki vs Patrick Scheidt / Timothy Moore4-6, 2-6
W#3 DoublesRaj Iyer / James Ghedotte vs Daniel Romano / Nick Romano6-1, 6-1
W#1 DoublesJeffrey Moy / John ODonnell vs Scott Blim / Timothy Moore6-1, 6-1
W#2 DoublesJoseph Picciuca / Jeffrey Pawlicki vs Brad Gnade / Gary Gnade3-6, 6-2, 1-0
W#2 SinglesEverett Smith vs Peter Bosma6-1, 6-0
W#3 DoublesPrithivirajan Prithivi / Kyle Berry vs Patrick Scheidt / Michael Bonomo6-3, 6-3
2022-03-06vs NITA 35M18 Naperville TC (Esancy)Lost 03
L#1 DoublesBob King / Prithivirajan Prithivi vs Leo Kanev / Miguel Fernandes3-6, 6-7
L#2 DoublesMichael Szwaya / Kyle Berry vs Peter Brecknock / Daniel Vogel2-6, 2-6
L#3 DoublesKarthik Raghu / James Ghedotte vs Srikanth Uppala / Wayne Pham2-6, 2-6
L#1 DoublesBob King / Jeffrey Moy vs Zachary Horn / Robert Champlin6-4, 5-7, 0-1
L#1 SinglesJohn Mora vs Joshua Leininger3-6, 1-6
L#2 DoublesJeffrey Pawlicki / Ronn Jefferson vs Michael Bonomo / Scott Blim1-6, 7-6, 0-1
2022-02-12vs NITA 35M18 Naperville TC (Esancy)Split 22
W#1 DoublesBob King / Jeffrey Moy vs David Schmidt / Ben Gordon6-4, 6-7, 1-0
W#1 SinglesEverett Smith vs Logan Triplitt3-6, 7-6, 1-0
L#2 SinglesJohn Yim vs Chris O'Malley1-6, 1-6
L#3 DoublesKyle Berry / Ronn Jefferson vs Justin Hoogendoorn / Eric Esancy6-7, 3-6
L#1 DoublesJeffrey Moy / Jeffrey Pawlicki vs Zachary Horn / Brian Kernaghan4-6, 5-7
W#1 SinglesEverett Smith vs Robert Champlin6-3, 6-1
W#2 SinglesGeorge Smeu vs Patrick Scheidt6-1, 6-3
W#3 DoublesKarthik Raghu / Raj Iyer vs Nick Romano / Daniel Romano6-3, 6-3
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.
Flight standings3 teams · NITA Winter 18 & Over 3.5 Men
TeamWLInd. WInd. LSets lostGames lost
1NITA 35M18 Naperville TC (Esancy)8034614199
2NITA W 35M18c Five Star (Mora/Berry)26182249369
3NITA W 35M18a Challenge Fitness (Bonomo)2683266435

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

Roster averages 2.96 estimated across 3 rated players. No lineup is published in advance, so the column below is where each player has actually been used — a captain's habits are the best available forecast. Sign in and claim your record to see who you have played.

Everett Smith
usually #1 Singles 60%, also #2 Singles 40% · published 4
Bob King
usually #1 Doubles 100% · published 3.5
3.06
John Yim
usually #2 Singles 100% · published 3.5
2.98
George Smeu
usually #2 Singles 50%, also #1 Doubles 50% · published 3.5
2.84
Jeffrey Pawlicki
usually #2 Doubles 60%, also #1 Doubles 40% · published
James Ghedotte
usually #3 Doubles 100% · published 3
John Mora
usually #1 Singles 100% · published
John ODonnell
usually #1 Doubles 100% · published
Kyle Berry
usually #2 Doubles 60%, also #3 Doubles 40% · published
Michael Szwaya
usually #2 Doubles 100% · published
Raj Iyer
usually #3 Doubles 67%, also #2 Doubles 33% · published
Ronn Jefferson
usually #2 Doubles 50%, also #3 Doubles 50% · published
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Bob King + Jeffrey Pawlicki4455% gamesnot enough data
Kyle Berry + Jeffrey Pawlicki2639% gamesnot enough data
James Ghedotte + Kyle Berry224 matchesnot enough data
Bob King + John ODonnell033 matchesnot enough data
Roster

Ordered by our estimated dynamic rating, which is why two players at the same published level are not tied — a published 4.0 says nothing about where inside the band someone sits. Lines played in this team’s season are shown beside each name.

4
Everett Smith
49W–33L career · 5 lines in 2022
not enough data
3.5
Bob King
63W–40L career · 5 lines in 2022
not enough data
3.5
John Yim
22W–52L career · 1 line in 2022
33%67%<1%
3.06
3.5
George Smeu
15W–14L career · type S · 2 lines in 2022
55%45%<1%
2.98
Jeffrey Pawlicki
30W–81L career · 5 lines in 2022
89%11%<1%
2.84
3
James Ghedotte
13W–40L career · 2 lines in 2022
not enough data
John Mora
10W–33L career · 1 line in 2022
not enough data
John ODonnell
17W–8L career · 2 lines in 2022
not enough data
Kyle Berry
25W–43L career · 5 lines in 2022
not enough data
Michael Szwaya
2W–9L career · 1 line in 2022
not enough data
Raj Iyer
9W–26L career · 3 lines in 2022
not enough data
Ronn Jefferson
11W–16L career · 2 lines in 2022
not enough data

Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. Percentages are blank where a player has too few matches this season, or at a level where the model does not yet beat a base-rate guess; the estimate is a weaker claim than a probability and survives where those do not.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.